Careerflow.ai Logo

Careerflow.ai

LLM - Business Analyst

Posted Yesterday
Remote
Hiring Remotely in United States
10-10 Hourly
Entry level
Remote
Hiring Remotely in United States
10-10 Hourly
Entry level
Evaluate, label, classify, and validate data per project guidelines to ensure dataset accuracy and consistency for AI model training. Identify edge cases, perform quality checks, provide feedback, and meet productivity and quality targets while working independently and remotely with required PST overlap.
The summary above was generated by AI

Role Overview

We are looking for detail-oriented professionals to support the development and improvement of AI models through high-quality data review and annotation. In this role, you will evaluate, classify, label, and validate content based on detailed project guidelines, ensuring accuracy and consistency across datasets used to train and assess AI systems.

The ideal candidate has excellent attention to detail, strong analytical thinking, and the ability to follow instructions with precision. This is an exciting opportunity to contribute to cutting-edge AI projects while gaining hands-on experience in the rapidly evolving field of artificial intelligence.

Key Responsibilities

  • Review, label, classify, and validate data according to project guidelines.

  • Ensure accuracy, consistency, and quality across assigned tasks.

  • Identify edge cases, discrepancies, and annotation issues, escalating them when appropriate.

  • Perform quality checks and provide clear, constructive feedback.

  • Meet productivity and quality targets while working independently in a remote environment.

Requirements

  • Must be currently based in the United States. Applications from candidates outside the US will not be considered.

  • Strong English reading, writing, and comprehension skills.

  • Excellent attention to detail and analytical abilities.

  • Ability to interpret guidelines and apply them consistently.

  • Good communication and collaboration skills.

  • Self-motivated with the ability to work independently.

  • Desktop or laptop with a reliable internet connection.

Preferred Qualifications

  • Prior experience in data annotation, content review, quality assurance, or similar work is preferred.

  • Familiarity with AI or machine learning data projects is a plus.

  • Basic proficiency with Google Workspace or Microsoft Office.

  • Strong problem-solving skills and the ability to make consistent, objective decisions.

Offer Details

  • Candidate Location: United States only

  • Commitment Required: At least 4 hours per day and a total of 40 hours per week with 4 hours of overlap with PST.

  • Engagement Type: Contractor assignment / Freelancer (no medical or paid leave).

  • Duration of Contract: 3–4 weeks.

  • Time Zone Requirement: This role will require some overlap with UTC-8:00 (America/Los_Angeles) for 4 hours per day.

Application Process

  1. Approved candidates will be sent automated analytical challenges.

  2. Once you clear them, you are ready to go!

Similar Jobs

57 Minutes Ago
Remote or Hybrid
Illinois, USA
87K-130K Annually
Senior level
87K-130K Annually
Senior level
Digital Media • Information Technology • News + Entertainment
Design and implement custom enterprise network solutions; support solutions architects and sales; provide Tier IV escalation and troubleshooting; develop capacity planning and network configuration/security standards; create documentation and technical presentations; participate in on-call rotation and occasional travel (up to 15%).
Top Skills: AaaAclsArubaBgpCiscoCisco CceCisco PrimeCisco WebexCradlepointDhcpDmvpnEigrpFortianalyzerFortimanagerFortinetFrame-RelayGlbpGrafanaGreHsrpIpsecIsdnIwanJuniperMerakiMplsNetscoutOspfPolicy RoutingPppPriQosRadiusRipv1Ripv2SdwanSipSnmpSolarwinds NcmStpT1Tacacs+Traffic Policing And ShapingVlanVoipVrrpVtpWireless NetworkingWiresharkZabbix
An Hour Ago
Remote or Hybrid
6 Locations
151K-187K Annually
Senior level
151K-187K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Manage and optimize procurement processes, supplier relationships, and contracts to drive cost savings and operational efficiency. Perform cost analysis, use procurement systems, lead negotiations, monitor supplier performance, and provide reporting to support sourcing decisions and alignment with organizational goals.
An Hour Ago
Remote or Hybrid
United States
106K-141K Annually
Senior level
106K-141K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Drive dealer enrollment, launch, and sustainment of MobileService+ across the Western Region. Serve as field SME, coach dealers, resolve issues, analyze performance, develop scalable processes, coordinate cross-functional partners, and support continuous growth and customer experience improvements. Heavy travel and region-based residency required.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account